How AI Is Changing Digital Marketing and What Businesses Should Do Now?
How AI in Digital Marketing Is Changing Business Strategies?
The major influence of AI in Digital Marketing is related to how business decides about their marketing strategy. The traditional marketing approaches used to be based on statistics from previous reports and hypotheses about consumer behavior. Now, AI lets businesses analyze current behavior of their clients and find patterns within days.
For instance, the e-commerce business may have thousands of visitors coming to its site every month. The analysis of every single visit and its result – pages the client looked through, actions made by the client, search requests, purchases – would be a tedious process without the use of AI technologies.
With AI technologies, marketers may rely on such services for:
audience research,
customer segmentation,
content planning,
advertising optimization,
competitor analysis,
marketing automation,
sales forecast,
analysis of customer behavior,
lead scoring,
campaign performance analysis
And all that will let marketing departments spend less time collecting data and more time creating marketing strategies.
However, it would be unwise for companies to solely rely on the recommendations made by artificial intelligence. Although artificial intelligence is capable of finding patterns, marketers have to know about positioning, objectives of the company, psychology of consumers, and other factors.
The best way is to let the technology handle data-driven activities while humans use their creativity.
AI in Digital Marketing Is Transforming Content Creation
Another significant field in which Artificial Intelligence in Digital Marketing is transforming is content marketing.
AI tools can be used by marketers for generating blog post ideas, writing content outlines, summarizing content, writing social media captions, improving headlines, writing advertisement copies, and even designing images or videos.
It would lead to increased productivity.
Consider a situation when a marketing team needs to write four blog posts, twenty social media posts, multiple email campaigns, and advertisements each month. Previously, such tasks done manually would require a lot of effort from a big team.
However, there is one big problem.
If the company generates the content using AI and then publishes it without editing, the content may appear to be generic and redundant, similar to the content of the competitors.
Customers become increasingly aware of low-quality content.
Thus, companies need to balance AI and human experience.
A better process of content creation can be as follows:
Firstly, employ AI for the purpose of research and brain-storming, and then allow an experienced marketer to provide real examples, industry experience, customer insight, opinion, case studies, and brand identity.
It will help firms generate their content quickly without compromising on its authenticity.
Originality is going to be highly valued as the internet will get inundated with AI-generated content.
Those who share genuine insights will have more chances of gaining trust.
Personalization and Predictive Marketing Are Improving Customer Experience
Increasingly, customers expect brands to know about their interests.
Think about an online clothing retailer and how the same products are presented to you all the time, despite your actions. Compare it to another website which shows you something based on your browsing history or your past purchase.
The second option sounds more relevant.
AI can help achieve such personalization easily.
The company can study customer behaviour and provide personalized recommendations, emails, advertisements and user experience.
For example, the online clothing retailer will discover that a certain client often buys sports stuff. In this case, the brand won't send any ads irrelevant to his or her preferences, but will suggest him or her running shoes, accessories for fitness classes or sportswear.
AI-based personalization can be applied to the following:
Recommendations
Personalized emails
Website content
Offers
Retargeting
Loyalty programs
Upselling/Cross selling
Predictive marketing takes one step further.
As opposed to the analysis of customer past actions, AI models predict future actions.
For instance, AI could recognize repeat customers, people who are most likely to abandon their shopping carts, unsubscribe from a business’s services, and those who respond to specific marketing campaigns.
The organization would then be able to develop marketing strategies targeting these customers specifically.
Such an approach would not only help to enhance the customer experience but would also help generate sales opportunities.
However, there are several issues that organizations need to address carefully regarding personalization.
AI Chatbots, Automation and Customer Support Are Becoming More Advanced
The expectations of customers have changed greatly.
It is not always necessary for the business to respond to the simplest of customer questions.
AI-based chatbots and conversational assistants can offer real-time assistance with commonly asked questions.
For instance, using a chatbot one can:
Check the order status
Search for the product
Learn about prices
Make an appointment
Get technical assistance
Ask frequently asked questions
Compare services
Contact the right department
Older chatbots operated on the basis of pre-defined rules and were useless in case of any deviation in customers' questions.
Nowadays modern AI-based conversational systems can understand natural language better and give useful answers.
Thus, they will be helpful for those businesses that receive a lot of inquiries from the customers.
Moreover, automation can greatly enhance the whole customer experience journey.
Suppose that someone downloads an e-book from the website of some company.
The automated workflow can send an automatic welcome email, offer more information several days later, find out if the visitor visited any service pages and inform the sales department about the intention to buy.
It would be quite difficult to manage this process manually.
What Businesses Should Do Now to Prepare for an AI-Driven Marketing Future?
AI technology is expected to evolve further, but companies don't have to implement all the new solutions instantly.
The first thing to start with is determining where AI can be the most helpful.
First, companies should identify those marketing tasks which require lots of time because they are repetitive. This includes researching keywords, creating reports, planning content, segmenting emails, customer support, analyzing data, and optimizing ads.
Then companies can slowly start implementing AI.
Developing AI Expertise within the Marketing Team
Companies should develop the expertise in AI rather than expect automatic generation of better results.
It means that marketers should be taught to write prompts, interpret data, automate things, do research with the help of AI and perform content control.
Most importantly, it is crucial to know when it is necessary not to use AI at all.
Protecting Brand Identity
Along with the growing popularity of AI-generated marketing, companies need to ensure their communication remains unique.
Brand style guides should describe tone of voice, message, company values, customer positioning, and content standards.
AI-generated content should be checked for its adherence to these rules.
Focusing on Quality Customer Data
AI will become even more helpful once companies start having better information.
Companies should enhance analytics, customer relationship management system, conversions tracking and collecting first party data.
Combine AI with Human Expertise
Technology can generate drafts, find patterns, perform tasks, but ultimately humans are accountable for making decisions.
A seasoned marketer knows how to communicate emotions, tell stories, interact with customers, build brands and operate within the business context.
These attributes are extremely important.
Measure Business Outcomes
Companies must not embrace AI just because other companies do.
Every project using AI needs to have a clear goal associated with a specific business metric.
Some examples include:
Was the development process accelerated thanks to AI?
Have automated campaigns improved conversions?
Has chatbot support shortened the response time?
Is personalization driving the average order value up?
Did the advertising campaign get a higher ROI thanks to automation?
These types of questions will reveal whether the use of AI has improved any aspect of business operations.
Keep Experimenting and Learning
Artificial intelligence is evolving very quickly.
Today's powerful tools can become obsolete tomorrow.
Thus, it doesn't make sense to depend solely on a single solution when developing a marketing strategy based on artificial intelligence.
Final Thoughts
AI is causing one of the most profound shifts that the digital marketing industry has seen in recent times.
From content creation and advertising to customer support, personalization, analysis, and automation, AI can allow businesses to operate more efficiently and make smarter marketing decisions.
But AI alone cannot create a brand.
It can never replace the understanding of customers, creativity, industry expertise, strategizing, and relationships.
It is the businesses that integrate smart technology with knowledgeable people who will be able to take full advantage of AI in Digital Marketing.
Rather than asking themselves whether "AI can replace our marketing team," businessesmust focus on asking how "AI can make our marketing team even better."
It is an essential change in mindset.
First, it is necessary to identify the time-consuming marketing processes, try out some useful AI applications, train your employees, improve your data quality, and track progress.
Businesses don't need to revolutionize everything at once.
They just have to get started.
Businesses that will learn to use AI responsibly and intelligently now will find it much easier to adapt to the highly competitive world of digital marketing in the future.
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